Representing Plans Under Uncertainty: A Logic of Time, Chance, and Action

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Edition: 1

Series: Lecture Notes in Computer Science 770 : Lecture Notes in Artificial Intelligence

ISBN: 3540576975, 9783540576976, 0387576975

Size: 896 kB (917936 bytes)

Pages: 134/140

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Peter Haddawy (eds.)3540576975, 9783540576976, 0387576975

This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem. The logical language integrates both modal and probabilistic constructs and allows quantification over time points, probability values, and domain individuals. The language can represent the chance that facts hold and events occur at various times and that actions and other events affect the future. An algorithm for the problem of building construction planning is developed and the logic is used to prove the algorithm correct.

Table of contents :
Introduction….Pages 1-10
Ontology….Pages 11-16
The logic of time, chance, and action….Pages 17-27
Proof theory….Pages 28-47
Properties of actions….Pages 48-62
Goals and utilities….Pages 63-73
Describing and reasoning about planning problems….Pages 74-81
Planning example….Pages 81-88
Construction planning system….Pages 89-102
Related work….Pages 103-107
Conclusions….Pages 108-113

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